US7826682B2ExpiredUtilityPatentIndex 62
Method of suppressing a periodical pattern in an image
Est. expiryApr 14, 2025(expired)· nominal 20-yr term from priority
G06T 5/20G06T 5/10G06T 2207/10116G06T 2207/20032A61B 6/5258G06T 5/70
62
PatentIndex Score
6
Cited by
24
References
16
Claims
Abstract
A short-time Goertzel transform is applied to the image signal to transform it into a representation of the spatial frequency component corresponding to the periodic pattern. This representation is processed. Next the inverse of the transformation is computed and the result of the inverse transformation is removed from the image signal.
Claims
exact text as granted — not AI-modified1. A periodical pattern suppression method wherein a spatial frequency component corresponding to a periodical pattern occurring in an image signal is suppressed, comprising the steps of:
extracting, via a radiography processing computer, from said image signal the spatial frequency component corresponding to the periodical pattern included therein by applying a transformation to the image signal to transform it into a representation of the spatial frequency component;
processing, via the radiography processing computer, the representation of the spatial frequency component;
computing, via the radiography processing computer, the inverse of the transformation on the processed representation of the spatial frequency component; and
suppressing, via the radiography processing computer, the spatial frequency component occurring in the image signal by eliminating from said image signal the result of said inverse transformation, wherein said transformation is defined by a formula
Γ( y ,ω)=∫ w ×( x−y )× s ( x )× e iωx dx
wherein s(x) is said image signal, ω represents a given frequency of the periodical pattern, and
wherein said processing comprises applying a non-linear high frequency attenuating filter to the representation of the spatial frequency component.
2. A method according to claim 1 , wherein the high frequency attenuating filter is implemented with a median filter.
3. A method according to claim 1 , where the high frequency attenuating filter is a 2-dimensional filter.
4. A method according to claim 1 , wherein the high frequency attenuating filter is a 1-dimensional filter in the same direction as the spatial frequency component.
5. A method according to claim 1 , wherein the high frequency attenuation filter is a 1-dimensional filter in the orthogonal direction to the spatial frequency component.
6. A method according to claim 1 , wherein the high frequency attenuating filter is a sequence of high frequency attenuating filters including at least one of a 1-dimensional filter and a two-dimensional filter.
7. A method according to claim 1 , wherein the filter is applied to the imaginary part of the complex representation.
8. A method according to claim 1 , wherein the filter is applied to the real part of the complex representation.
9. A method according to claim 1 , wherein the filter is applied to the magnitude of the complex representation.
10. A method according to claim 1 , wherein the filter is applied to the phase of the complex representation.
11. A method according to claim 1 , wherein the transformation is applied to a filtered version of the image signal.
12. A method according to claim 11 , wherein the filtered version of the image signal does not contain the DC component.
13. A method according to claim 11 , wherein the filtered version of the image signal only contains frequencies within a certain bandwidth of the frequency to be suppressed.
14. A method according to claim 1 , wherein the spatial frequency components are removed which correspond to an image of anti-scatter gridlines in a radiographic image.
15. A non-transitory computer program product adapted to carry out the steps of claim 1 when run on a computer.
16. A non-transitory computer readable carrier medium comprising computer executable program code adapted to carry out the steps of claim 1 .Cited by (0)
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